If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

This project explores the determinants of inflation prediction errors using data from the Survey of Consumer Expectations (SCE) from 2013 to 2023 and monthly National and yearly State-level PCE. The ...

Coursework, Stata code, and notes for PBHS 32700: Biostatistical Methods (Spring 2024, University of Chicago). Topics include contingency tables, logistic regression, Poisson and negative binomial ...

Introduction Tackling malnutrition in infants aged under 6 months (u6m) is a major global priority yet evidence around this vulnerable group is weak. We aimed to support the rollout of new 2023 WHO ...

The efficacy of watch and wait strategy or surgery after neoadjuvant immunotherapy for locally advanced colorectal cancer with dMMR/MSI-H guided by ctDNA dynamic monitoring (WINDOW): A single-center, ...

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...

Abstract: Stata and python were used to analyze and clean the data of TCM diagnosis thyroid medical records. Principal component analysis and factor analysis were used to analyze and clean the ...

Background: Intensive care unit (ICU) beds played a crucial role in reducing mortality rates of patients with severe COVID-19. The surge in the number of patients led to a shortage of ICU beds, which ...

OBJECTIVE: Viral hepatitis and sexually transmitted infections disproportionally affect men who have sex with men (MSM) and transgender women (TGW). However, only a few studies have evaluated the ...